应用机器学习课程可以帮助您学习数据预处理、模型选择、Feature Engineering 和 Evaluation 指标。您可以掌握在实际环境中实施算法、优化性能和解释结果的技能。许多课程介绍 Python、TensorFlow 和 Scikit-learn 等工具,这些工具支持开发机器学习模型和应用 AI 技术解决实际问题。
Duke University
您将获得的技能: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, AI Security, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, AI Product Strategy, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Applied Machine Learning, Logistic Regression, Deep Learning, Visualization (Computer Graphics), Plot (Graphics), Artificial Neural Networks
中级 · 专项课程 · 1-3 个月

AI CERTs
您将获得的技能: Model Evaluation, Data Analysis, Applied Machine Learning, Environmental Regulations, Environment and Resource Management, Geospatial Information and Technology, Computer Vision, Environment Health And Safety, Environment, Operations, Operations Management, Workforce Development
中级 · 课程 · 1-3 个月
Alberta Machine Intelligence Institute
您将获得的技能: Generative AI Agents, Generative AI, Generative Model Architectures, LangChain, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Prompt Engineering, Google Cloud Platform, PyTorch (Machine Learning Library), System Monitoring, Embeddings, Deep Learning, Transfer Learning, Model Evaluation, Development Environment, Natural Language Processing, Vector Databases
中级 · 课程 · 1-4 周

您将获得的技能: R Programming, Predictive Analytics, Applied Machine Learning, Data-Driven Decision-Making, Analytics, Data Science, Feature Engineering, Data Preprocessing, Machine Learning, Telemarketing, Model Deployment
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control
中级 · 课程 · 1-4 周
Johns Hopkins University
您将获得的技能: 机器学习, 探索性数据分析, 数据科学, 预测建模, R 语言程序设计(中文版), 统计分析, 统计推理, 统计假设检验, 机器学习算法, 绘图(图形), Plotly, 版本控制, 数据清理, Rmarkdown, 闪亮(R 套件), 数据操作, 回归分析, GitHub, 模型评估, 交互式数据可视化
初级 · 专项课程 · 3-6 个月

您将获得的技能: Recurrent Neural Networks (RNNs), Tensorflow, Python Programming, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: 机器学习, 机器学习算法, 数据库, Apache Hadoop, Apache Cassandra, 分布式计算, 监督学习, 生成式人工智能, 数据管道, Apache Spark, MongoDB, Kubernetes, 大数据, PySpark, Apache Hive, 应用机器学习, NoSQL, 模型评估, IBM 云, 摘录
初级 · 专项课程 · 3-6 个月

您将获得的技能: Unsupervised Learning, Seaborn, Matplotlib, Predictive Modeling, Data Preprocessing, Supervised Learning, NumPy, Model Evaluation, Applied Machine Learning, Predictive Analytics, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Scatter Plots, Statistical Visualization, Python Programming, Data Science, Machine Learning, Data Analysis
初级 · 专项课程 · 1-3 个月

Microsoft
您将获得的技能: 机器学习, 负责任的人工智能, 计算机视觉, 预测建模, 微软 Azure, 无代码开发, 模型部署, 自然语言处理, 人工智能, AI 工作流程
初级 · 课程 · 1-4 周

您将获得的技能: Matplotlib, Data Visualization, Seaborn, Logistic Regression, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Machine Learning Algorithms, Python Programming, Supervised Learning, Classification Algorithms, Algorithms
初级 · 指导项目 · 不超过 2 小时

Illinois Tech
您将获得的技能: Clinical Informatics, Data Ethics, Health Informatics, Responsible AI, Electronic Medical Record System, Health Care, Health Technology, Clinical Data Management, Healthcare Ethics, Artificial Intelligence, Natural Language Processing, Decision Support Systems, Machine Learning, Data Quality, Generative AI
混合 · 课程 · 1-4 周